Anthony Lee

5.0k citations
119 papers · 3.3k · h-index 28

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 5
    • HER2/EGFR in Cancer Research 10
    • Lung Cancer Research Studies 6
    • Cancer Treatment and Pharmacology 4

Anthony Lee

115 papers receiving 3.3k citations

Peers

Anthony Lee
Comparison fields: 5 of 146
  • Pharmacology 441
  • Cell Biology 514
  • Virology 134
  • Molecular Biology 1.2k
  • Oncology 456
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Thomas S. Weiß Germany
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Lars Ståhle Sweden
Yutaka Eguchi Japan
Guilherme Suarez‐Kurtz Brazil
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Citations per field
00.5×1.5×2.0×
Thomas S. Weiß · 1×
Citations per year

Countries citing papers authored by Anthony Lee

Since Specialization
Citations

This map shows the geographic impact of Anthony Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anthony Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Lee more than expected).

Fields of papers citing papers by Anthony Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anthony Lee. The network helps show where Anthony Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Anthony Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anthony Lee Line = papers co-authored together Anthony Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003387
2 1998374
3 2005193
4 1998168
5 2011140
6 1991101
7 199989
8
Characterization of the NADPH-dependent metabolism of 17beta-estradiol to multiple metabolites by human liver microsomes and selectively expressed human cytochrome P450 3A4 and 3A5.
200180
9 201677
10 200876
11 200567
12 202255
13 202053
14 201250
15 202050
16 201347
17 199746
18 200145
19 201745
20 201043

About Anthony Lee

Anthony Lee is a scholar working on Molecular Biology, Oncology, Pharmacology, Pulmonary and Respiratory Medicine and Genetics, having authored 119 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Estrogen and related hormone effects (12 papers), HER2/EGFR in Cancer Research (10 papers), HIV/AIDS drug development and treatment (7 papers), Lung Cancer Research Studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Pharmacology (441 citations), Cell Biology (514 citations), Virology (134 citations), Molecular Biology (1.2k citations) and Oncology (456 citations). Anthony Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Bao Ting Zhu, Allan H. Conney, Mark A. Lemmon, Daryl E. Klein, Paul E. Thomas, Michael S. Marks, Marco Falasca, Steven J. Isakoff, Edward Y. Skolnik and Jennifer M. Kavran. Their work appears in journals such as Drug Metabolism and Disposition, Pediatric Critical Care Medicine, AIDS, Cancer Research and Journal of Clinical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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